ArticleInternational urogynecology journal2023
Surgical teaching of the retropubic midurethral sling: a virtual reality training system.
Article in International urogynecology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Teaching Vaginal Surgery Through Simulation.O&G open · 2026Review
- A Narrative Review of Haptic Technologies and Their Value for Training, Rehabilitation, and the Education of Persons with Special Needs.Sensors (Basel, Switzerland) · 2024Review
- Cognitive models for mentally visualizing a sharp instrument in a blind procedure.Global surgical education : journal of the Association for Surgical Education · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
introduction and hypothesisThe objective is to develop a low-risk, cost-effective method to teach procedures that require learning by feel and high-volume pattern recognition, starting with the midurethral sling.
methodsThis video describes the creation of a virtual reality model utilizing de-identified patient data, artificial intelligence algorithms and haptics; and demonstrates the use of the training system for trocar passage of the retropubic midurethral sling procedure.
resultsThis innovative system overcomes the lack of visualization and "blind" nature of sling surgery. Novel artificial intelligence provides high accuracy of anatomical landmarks and a realistic 3D environment. The trainee benefits from haptic and visual alerts for real-time feedback on the trocar insertion pathway and scoring to develop competency.
conclusionThis is one of the first noncadaveric, nonstatic models available in the field. It allows for multiple low-risk exercises and provides more surgeons with training outside the operating room, at their own institution, and avoids the need for patient subjects. Training can be disseminated at a significantly lower cost and greater convenience than remote cadaver laboratories or intraoperative observation and has a higher fidelity than available static models, particularly after multiple passes. This has implications not only for retropubic midurethral slings but also for urogynecological and "blind" surgery as a whole.
Indexed as
Identifiers
36692526What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.